Problem Statement The area under a curve can be estimated by breaking the x axis into increments, evaluating the function at a point inside that increment, and approximating the area under the curve in that increment as a rectangle. The figure below shows this approximation with an increment of 1 and the function being evaluated at the midpoint of the increment. 25 35 As the increment decreases, the approximation of the area under the curve improves as shown when the increments are decreased to 0.25 for the same function as shown above. Write the code that will calculate the area under the curve: y = 8 sin (x) + 0.5x² – x (where x is in radians)

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Problem Statement
The area under a curve can be estimated by breaking the x axis into increments, evaluating the function at a point inside that increment, and approximating the area under the curve in that increment as a
rectangle. The figure below shows this approximation with an increment of 1 and the function being evaluated at the midpoint of the increment.
20
18
16
14
12
> 10
8
6
4
0.5
1
1.5
2.5
3
3.5
4
X
As the increment decreases, the approximation of the area under the curve improves as shown when the increments are decreased to 0.25 for the same function as shown above.
20
18
16
14
12
> 10
8
6
4
0.5
1
1.5
2
2.5
3.5
4
Write the code that will calculate the area under the curve:
y = 8 sin (x) + 0.5x² – x
(where x is in radians)
using decreasing increments until the area value converges (the difference between the area from two consecutive runs is less than 0.01%). Use the midpoint approximation method and start with an increment
of 1. Decrease the increment by half every iteration.
Variable List
% Inputs
UTF-8
script
Ln 37
Col 5
Transcribed Image Text:Problem Statement The area under a curve can be estimated by breaking the x axis into increments, evaluating the function at a point inside that increment, and approximating the area under the curve in that increment as a rectangle. The figure below shows this approximation with an increment of 1 and the function being evaluated at the midpoint of the increment. 20 18 16 14 12 > 10 8 6 4 0.5 1 1.5 2.5 3 3.5 4 X As the increment decreases, the approximation of the area under the curve improves as shown when the increments are decreased to 0.25 for the same function as shown above. 20 18 16 14 12 > 10 8 6 4 0.5 1 1.5 2 2.5 3.5 4 Write the code that will calculate the area under the curve: y = 8 sin (x) + 0.5x² – x (where x is in radians) using decreasing increments until the area value converges (the difference between the area from two consecutive runs is less than 0.01%). Use the midpoint approximation method and start with an increment of 1. Decrease the increment by half every iteration. Variable List % Inputs UTF-8 script Ln 37 Col 5
Inputs
This section is only needed when running the code in MATLAB. MATLAB Grader automatically creates these variables.
% Test Case 1
Xmin
11
Xmax = 10;
12
% Test case output:
13
% area = 131.3823
14
15
% % Test Case 2
16
% Xmin = 5;
% Xmax
% % Test case output:
17
10;
18
19
% % area
117.3178
20
21
% % Test Case 3
22
% Xmin = 0;
% Xmax
100;
% % Test case output:
% % area = 161667 (1.6167e+05)
24
25
26
Program
27
% Start writing your program here
29
UTF-8
script
O OH N345 6700 9 O1 ~34LO 6
N N N NN
N N N
Transcribed Image Text:Inputs This section is only needed when running the code in MATLAB. MATLAB Grader automatically creates these variables. % Test Case 1 Xmin 11 Xmax = 10; 12 % Test case output: 13 % area = 131.3823 14 15 % % Test Case 2 16 % Xmin = 5; % Xmax % % Test case output: 17 10; 18 19 % % area 117.3178 20 21 % % Test Case 3 22 % Xmin = 0; % Xmax 100; % % Test case output: % % area = 161667 (1.6167e+05) 24 25 26 Program 27 % Start writing your program here 29 UTF-8 script O OH N345 6700 9 O1 ~34LO 6 N N N NN N N N
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